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Original Research

Open Access

Association between motor competence, and the rating of perceived exertion in male young adults

  • Fábio Saraiva Flôres1,2
  • Denise Soares3,*,
  • Virgínia Teixeira Hermann4
  • Clandio Timm Marques5
  • Nuno Casanova1
  • Renata Willig1
  • Joana Lourenço1
  • Priscila Marconcin1
  • Ana Filipa Silva2,6,7
  • Rafael Oliveira7,8,9

1KinesioLab, Research Unit in Human Movement, Instituto Piaget, 2805-059 Almada, Portugal

2Research Center in Sports Performance, Recreation, Innovation and Technology (SPRINT), 4900-347 Viana do Castelo, Portugal

3Liberal arts Department, American University of the Middle East, 54200-000 Kuwait City, Kuwait

4Universidade Federal de Santa Maria, Centro de Educação Física e Desportos, Santa Maria, RS 97105-900, Brazil

5Universidade Franciscana, Departamento de Matemática, Santa Maria, RS 97010-032, Brazil

6School of Sports and Leisure, Polytechnic Institute of Viana do Castelo, 4900-347 Viana do Castelo, Portugal

7Research Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), 5001-801 Vila Real, Portugal

8Sports Science School of Rio Maior—Polytechnic Institute of Santarém, 2040-413 Rio Maior, Portugal

9Life Quality Research Centre, 2040-413 Rio Maior, Portugal

DOI: 10.22514/jomh.2023.098 Vol.19,Issue 10,October 2023 pp.34-42

Submitted: 23 March 2023 Accepted: 15 May 2023

Published: 30 October 2023

*Corresponding Author(s): Denise Soares E-mail: denise.soares@aum.edu.kw

Abstract

The purpose of this study was two-fold: (i) to analyze the relationship between motor competence (i.e., a person’s ability to be proficient in different gross motor skills) and the rating of perceived exertion (RPE), which represents the physiological and psychological responses during training, in young adults, and (ii) to compare RPE between participants with high and low motor competence. Forty-eight male young adults (22.01 ± 2.43 years) participated in this study. Participants were randomly divided into several teams of three players to perform a small-sided game for 25 min (Goalkeeper+ 2 × 2 + Goalkeeper) in which the RPE was collected. Then, motor competence was assessed through six tests assessing three main components: stability (Jumping Sideways and Shifting Platforms); locomotor (Standing Long Jump and Shuttle Run), and manipulative (Velocity of Ball Kicking and Throwing). Motor competence was negatively associated with RPE (r = −0.64; p < 0.001). Moreover, locomotor, stability, and manipulative components were negatively associated with RPE (all, p < 0.05). Furthermore, upon comparing groups with low and high levels of motor competence, we observed significantly higher RPE values (p < 0.001; d = 0.32) in the low motor competence group. The findings from this study suggest that individuals with higher levels of motor competence may report a lower RPE during exercise. This information is valuable for coaches as improving levels of motor competence may potentially lead to increases in on-field performance.


Keywords

Internal load; Exercise; Intensity; Youth; Sport; Small-sided games


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Fábio Saraiva Flôres,Denise Soares,Virgínia Teixeira Hermann,Clandio Timm Marques,Nuno Casanova,Renata Willig,Joana Lourenço,Priscila Marconcin,Ana Filipa Silva,Rafael Oliveira. Association between motor competence, and the rating of perceived exertion in male young adults. Journal of Men's Health. 2023. 19(10);34-42.

References

[1] Rodrigues LP, Cordovil R, Luz C, Lopes VP. Model invariance of the motor competence assessment (MCA) from early childhood to young adulthood. Journal of Sports Sciences. 2021; 39: 2353–2360.

[2] Rodrigues LP, Luz C, Cordovil R, Bezerra P, Silva B, Camões M, et al. Normative values of the motor competence assessment (MCA) from 3 to 23 years of age. Journal of Science and Medicine in Sport. 2019; 22: 1038–1043.

[3] Luz C, Rodrigues LP, Meester A De, Cordovil R. The relationship between motor competence and health-related fitness in children and adolescents. PLOS ONE. 2017; 12: e0179993.

[4] Luz C, Cordovil R, Almeida G, Rodrigues LP. Link between motor competence and health related fitness in children and adolescents. Sports. 2017; 5: 41.

[5] Silva AF, Nobari H, Badicu G, Ceylan HI, Lima R, Lagoa MJ, et al. Reliability levels of motor competence in youth athletes. BMC Pediatrics. 2022; 22: 430.

[6] Utesch T, Bardid F. Motor competence. Dictionary of Sport Psychology: Sport, Exercise, and Performing Arts. 2019; 186.

[7] Stodden D, Langendorfer S, Roberton MA. The association between motor skill competence and physical fitness in young adults. Research Quarterly for Exercise and Sport. 2009; 80: 223–229.

[8] Barnett LM, van Beurden E, Morgan PJ, Brooks LO, Beard JR. Childhood motor skill proficiency as a predictor of adolescent physical activity. Journal of Adolescent Health. 2009; 44: 252–259.

[9] Sacko R, Utesch T, Bardid F, Stodden D. The impact of motor competence on energy expenditure during object control skill performance in children and young adults. Brazilian Journal of Motor Behavior. 2021; 15: 91–106.

[10] van der Fels IMJ, te Wierike SCM, Hartman E, Elferink-Gemser MT, Smith J, Visscher C. The relationship between motor skills and cognitive skills in 4–16 year old typically developing children: a systematic review. Journal of Science and Medicine in Sport. 2015; 18: 697–703.

[11] Flôres FS, Milani MF, Copetti F, Luz C, Cordovil R. O impacto da prática do futsal na competência motora de crianças. Motrivivência. 2020; 32: 01–13.

[12] Cantell M, Crawford SG, Tish Doyle-Baker PK. Physical fitness and health indices in children, adolescents and adults with high or low motor competence. Human Movement Science. 2008; 27: 344–362.

[13] Gísladóttir T, Haga M, Sigmundsson H. Motor competence in adolescents: exploring association with physical fitness. Sports. 2019; 7: 1–11.

[14] Nakamura FY, Moreira A, Aoki MS. Monitoramento da carga de treinamento: a percepção subjetiva do esforço da sessão é um método confiável? Journal of Physical Education/UEM. 2010; 21: 1–11.

[15] Bourdon PC, Cardinale M, Murray A, Gastin P, Kellmann M, Varley MC, et al. Monitoring athlete training loads: consensus statement. International Journal of Sports Physiology and Performance. 2017; 12: S2161-S2170.

[16] Jeffries AC, Marcora SM, Coutts AJ, Wallace L, McCall A, Impellizzeri FM. Development of a revised conceptual framework of physical training for use in research and practice. Sports Medicine. 2022; 52: 709–724.

[17] Foster C, Daines E, Hector L, Snyder A, Welsh R. Athletic performance in relation to training load. Wisconsin Medical Journal. 1996; 95: 370–4.

[18] Foster C, Florhaug JA, Franklin J, Gottschall L, Hrovatin LA, Parker S, et al. A new approach to monitoring exercise training. The Journal of Strength and Conditioning Research. 2001; 15: 109.

[19] Miguel M, Oliveira R, Loureiro N, García-Rubio J, Ibáñez SJ. Load measures in training/match monitoring in soccer: a systematic review. International Journal of Environmental Research and Public Health. 2021; 18: 1–26.

[20] Yu H, Sun C, Sun B, Chen X, Tan Z. Systematic review and meta-analysis of the relationship between actual exercise intensity and rating of perceived exertion in the overweight and obese population. International Journal of Environmental Research and Public Health. 2021; 18: 12912.

[21] Morishita S, Yamauchi S, Fujisawa C, Domen K. Rating of perceived exertion for quantification of the intensity of resistance exercise. International Journal of Physical Medicine and Rehabilitation. 2013; 1: 1–4.

[22] Castagna C, Bizzini M, Póvoas SCA, D’Ottavio S. Timing effect on training-session rating of perceived exertion in top-class soccer referees. International Journal of Sports Physiology and Performance. 2017; 12: 1157–1162.

[23] Flôres F, Lourenço J, Phan L, Jacobs S, Willig R, Marconcin P, et al. Evaluation of reaction time during the one-leg balance activity in young soccer players: a pilot study. Children. 2023; 10: 743.

[24] Porto H, Copetti F, Flôres F. The ecological and cognitive approaches in football/futsal decision-makin. RBFF-Revista Brasileira de Futsal e Futebol. 2020; 12: 594–600.

[25] Gaudino P, Iaia FM, Strudwick AJ, Hawkins RD, Alberti G, Atkinson G, et al. Factors influencing perception of effort (session rating of perceived exertion) during elite soccer training. International Journal of Sports Physiology and Performance. 2015; 10: 860–864.

[26] McLaren SJ, Macpherson TW, Coutts AJ, Hurst C, Spears IR, Weston M. The relationships between internal and external measures of training load and intensity in team sports: a meta-analysis. Sports Medicine. 2018; 48: 641–658.

[27] Scherr J, Wolfarth B, Christle JW, Pressler A, Wagenpfeil S, Halle M. Associations between Borg’s rating of perceived exertion and physiological measures of exercise intensity. European Journal of Applied Physiology. 2013; 113: 147–155.

[28] Martin M, Rampinini E, Bosio A, Azzalin A, McCall A, Ward P. Relationships between internal and external load measures and fitness level changes in professional soccer players. Research Quarterly for Exercise and Sport. 2022: 1–13.

[29] Faul F, Erdfelder E, Lang A, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods. 2007; 39: 175–191.

[30] Haile L, Gallagher M, J. Robertson R. Perceived exertion. Perceived Exertion Laboratory Manual. 2015; 2: 11–20.

[31] Rodrigues LP, Luz C, Cordovil R, Pombo A, Lopes VP. Motor competence assessment (MCA) scoring method. Children. 2022; 9: 1769.

[32] Abrantes C, Nunes M, Maçãs V, Leite N, Sampaio J. Effects of the number of players and game type constraints on heart rate, rating of perceived exertion, and technical actions of small-sided games. Journal of Strength and Conditioning Research. 2012; 26: 976–81.

[33] Flôres FS, Rodrigues LP, Cordovil R. Relationship between the affordances for motor behavior of schoolchildren (AMBS) and motor competence assessment (MCA) in Brazilian children. Children. 2021; 8: 705.

[34] Borg G. Borg’s perceived exertion and pain scales. 1st ed. Human Kinetics: Champaign. 1998.

[35] Cohen J. Statistical power analysis for the behavioral sciences. 2nd edn. Routledge: New York. 2013.

[36] Kovářová L, Pánek D, Kovář K, Hlinčík Z. Relationship between subjectively perceived exertion and objective loading in trained athletes and non-athletes. Journal of Physical Education and Sport. 2015; 15: 186–193.

[37] Costa CLA, Cattuzzo MT, Stodden DF, Ugrinowitsch H. Motor competence in fundamental motor skills and sport skill learning: testing the proficiency barrier hypothesis. Human Movement Science. 2021; 80: 102877.

[38] Terlizzi B, Abrams TC, Sacko RS, Hand AF, Silvey K, Stodden DF. The relationship between functional motor competence and performance on the army combat fitness test in army reserve officer training corps cadets. Military Medicine. 2022; 1–8.

[39] Rosenkranz K, Kacar A, Rothwell JC. Differential modulation of motor cortical plasticity and excitability in early and late phases of human motor learning. The Journal of Neuroscience. 2007; 27: 12058–12066.

[40] Lay BS, Sparrow WA, Hughes KM, O’Dwyer NJ. Practice effects on coordination and control, metabolic energy expenditure, and muscle activation. Human Movement Science. 2002; 21: 807–830.

[41] Haapala EA, Gao Y, Hartikainen J, Rantalainen T, Finni T. Associations of fitness, motor competence, and adiposity with the indicators of physical activity intensity during different physical activities in children. Scientific Reports. 2021; 11: 12521.


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